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Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ghosh, Aritra, Oldag, Drew, Tauraso, Michael, Connolly, Andrew J., Ferguson, Peter, Jones, Derek, Khullar, Gourav, Sasli, Argyro, Venkatesh, Samarth, Wang, Gracia, West, Maxine, Berry, Dylan, Caplar, Neven, Chandler, Colin Orion, Chatchadanoraset, Tanawan, Coughlin, Michael W., DeLucchi, Melissa, Junell, Alexandra, Miura, Diego, Nunes, Felipe Fontinele, Beebe, Wilson, Branton, Doug, Campos, Sandro, Cunningham, Liam, Dai, Mi, Kubica, Jeremy, Malanchev, Konstantin, Mandelbaum, Rachel, McGuire, Sean, Pasha, Imad, Taranu, Dan S., Zhang, Tianqing
Format:	Preprint
Published:	2026
Subjects:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Earth and Planetary Astrophysics Astrophysics of Galaxies Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.18959